Book contents
- Morphological Diversity and Linguistic Cognition
- Morphological Diversity and Linguistic Cognition
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Abbreviations
- 1 At the Intersection of Cognitive Processes and Linguistic Diversity
- Part I In What Ways Is Language Processing Tuned to the Morphological Structure of a Language?
- Part II What Role Does Cue Informativity Play in Learning and How the Lexicon Evolves Over Time?
- Part III How Do System-Level Principles of Morphological Organization Emerge?
- 8 Morphology Gets More and More Complex, Unless It Doesn’t
- 9 Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
- 1 Introduction
- 2 A Graph-Theoretic Approach to Inflection Class Structure
- 3 Marginal Detraction: The Phenomenon to Be Modeled
- 4 An Iterated Bayesian Model of Inflection Class Learning
- 5 Model Results
- 6 Discussion
- 7 Conclusions
- Acknowledgments
- Appendix A. Regression Models on Natural Languages
- Appendix B. Regression Models on Output of Bayesian Model
- Appendix C. Summary Statistics for Output of Bayesian Model
- 10 Rule Combination, Potentiation, Affix Telescoping
- References
- Language Index
- General Index
Appendix C. - Summary Statistics for Output of Bayesian Model
from 9 - Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
Published online by Cambridge University Press: 19 May 2022
- Morphological Diversity and Linguistic Cognition
- Morphological Diversity and Linguistic Cognition
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Preface
- Abbreviations
- 1 At the Intersection of Cognitive Processes and Linguistic Diversity
- Part I In What Ways Is Language Processing Tuned to the Morphological Structure of a Language?
- Part II What Role Does Cue Informativity Play in Learning and How the Lexicon Evolves Over Time?
- Part III How Do System-Level Principles of Morphological Organization Emerge?
- 8 Morphology Gets More and More Complex, Unless It Doesn’t
- 9 Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction
- 1 Introduction
- 2 A Graph-Theoretic Approach to Inflection Class Structure
- 3 Marginal Detraction: The Phenomenon to Be Modeled
- 4 An Iterated Bayesian Model of Inflection Class Learning
- 5 Model Results
- 6 Discussion
- 7 Conclusions
- Acknowledgments
- Appendix A. Regression Models on Natural Languages
- Appendix B. Regression Models on Output of Bayesian Model
- Appendix C. Summary Statistics for Output of Bayesian Model
- 10 Rule Combination, Potentiation, Affix Telescoping
- References
- Language Index
- General Index
Summary
- Type
- Chapter
- Information
- Morphological Diversity and Linguistic Cognition , pp. 280 - 281Publisher: Cambridge University PressPrint publication year: 2022